Develop essential systems & infrastructure skills with expert instruction and practical examples.
Welcome to the advanced course on how to setup a deployment automation that's capable of scaling to handle millions of users. In this course you will learn some of the most in-demand skills in the marketplace today by creating automated workflows to deploy and manage a scalable and secure infrastructure. The demand for DevOps engineers is skyrocketing because few people have these skills and the value they add to a business's bottom line is so high.
Software development is expensive, and DevOps saves money by automating and streamlining the process. It also makes it easier to deploy more frequently, so you can catch issues early and improve the reliability of your product or service. Not to mention it saves hundreds of hours of manually administering servers and running deployments (like the good old days).
People in DevOps roles are some of the highest earners in the industry, are looking for work the least, and are the most sought after by companies. (Source: Stack Overflow Developer Survey 2019 and Indeed). Needless to say, mastering the technologies and skills used for DevOps is a great return on investment.
Whether you're a developer, system administrator, or tech entrepreneur - this course will give you the tools to advance your skills in some of the most in-demand DevOps technologies in the marketplace today. In this course, you'll be deploying a sample Django REST API to AWS using Terraform, GitLab, Docker and a suite of AWS technologies, including:Elastic Container Registry (ECR)Relational Database Service (RDS)Elastic Container Service (ECS)Application Load Balancer (ALB)Elastic File System (EFS)Virtual Private Cloud (VPC)SubnetsGatewaysEndpointsSimple Storage Service (S3)Route53Identity and Access Management (IAM)AWS Certificate Manager (ACM)This course was designed to deploy a Django application, but it will work for any web application that runs in Docker. In this course, you will learn how to:Define your infrastructure as code so you can easily create and destroy environments as you need them, keeping AWS costs lowDesign an architecture that is scalable, secure, resilient and facilitates zero downtime deploymentsSetup professional development workflows based on GitLab Flow to automate processes and speed up deploymentsProperly manage and administer an AWS account in accordance with best practices to mitigate the risk of it getting compromised (and preventing AWS bill shock)By the end of the course you will have implemented a fully functioning deployment process, comparable to what you might find at any major tech company.
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